• Title/Summary/Keyword: discovery framework

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New Framework and Mechanisms of Context-Aware Service Composition in the Future Internet

  • Gonzalez, Alberto J.;De Pozuelo, Ramon Martin;German, Martin;Alcober, Jesus;Pinyol, Francesc
    • ETRI Journal
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    • v.35 no.1
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    • pp.7-17
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    • 2013
  • The ongoing proliferation of new services, applications, and contents is leading the Internet to an architectural crisis owing to its inability to provide efficient solutions to new requirements. Clean-slate architectures for the future Internet offer a new approach to tackle current and future challenges. This proposal introduces a novel clean-slate architecture in which the TCP/IP protocol stack is decoupled in basic functionalities, that is, atomic services (ASs). A negotiation protocol, which enables context-aware service discovery for providing adapted communications, is also specified. Then, we present how ASs can be discovered and composed according to requesters' requirements. In addition, a media service provisioning use case shows the benefits of our framework. Finally, a proof-of-concept implementation of the framework is described and analyzed. This paper describes the first clean-slate architecture aligned with the work done within the ISO/IEC Future Network working group.

Methodology for Developing a Ubiquitous Business Model: Incorporating Co-Creation Experiences (유비쿼터스 컴퓨팅 환경에서의 비즈니스 모델 개발 방법론: 가치의 공동 창출 경험을 중심으로)

  • Kim, Kyung-Kyu;Park, Sung-Kook
    • The Journal of the Korea Contents Association
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    • v.9 no.2
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    • pp.326-338
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    • 2009
  • In this paper, we argue that characteristics of ubiquitous business are different from those of e-business or m-business. We have developed a u-business model development framework incorporating the concept of value co-creation experiences, which is a core of the ubiquitous business paradigm. The framework of u-business model development presented in this paper consists of eight steps such as defining of domain, discovery of opportunity nucleus, defining of potential co-creation experience environment, deriving candidates of u-business services, selecting u-business killer services, defining value propositions of u-business killer services, defining u-business killer service offerings, and drawing a resource map of u-business killer services. The proposed u-business model development framework offers useful guidelines for practitioners to develop successful u-business models under a ubiquitous business paradigm.

A New Framework of 6lowpan node for Neighboring Communication with Healthcare Monitoring Applications

  • Singh, Dhananjay;Lee, Hoon-Jae;Chung, Wan-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2009.05a
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    • pp.281-286
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    • 2009
  • The proposed technique uses cyclic frame structure, where three periods such as beacon period (BP), mesh contention access period (MCAP) and slotted period (SP) are in a data frame. This paper studies on a mechanism to allow communication nodes (6lowpan) in a PAN with different logical channel for global healthcare applications monitoring technology. The proposed super framework structure system has installed 6lowpan sensor nodes to communicate with each other. The basic idea is to time share logical channels to perform 6lowpan sensor node. The concept of 6lowpan sensor node and various biomedical sensors fixed on the patient BAN (Body Area Network) for monitoring health condition. In PAN (hospital area), has fixed gateways that received biomedical data from 6lowpan (patient). Each 6lowpan sensor node (patient) has IP-addresses that would be directly connected to the internet. With the help of IP-address service provider can recognize or analyze patient data from all over the globe by the internet service provider, with specific equipments i.e. cell phone, PDA, note book. The NS-2.33 result shows the performance of data transmission delay and data delivery ratio in the case of hop count in a PAN (Personal Area Networks).

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Computer vision monitoring and detection for landslides

  • Chen, Tim;Kuo, C.F.;Chen, J.C.Y.
    • Structural Monitoring and Maintenance
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    • v.6 no.2
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    • pp.161-171
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    • 2019
  • There have been a few checking frameworks intended to ensure and improve the nature of their regular habitat. The greater part of these frameworks are constrained in their capacities. In this paper, the insightful checking framework intended for debacle help and administrations has been exhibited. The ideal administrations, necessities and coming about plan proposition have been indicated. This has prompted a framework that depends fundamentally on ecological examination so as to offer consideration and security administrations to give the self-governance of indigenous habitats. In this sense, ecological acknowledgment is considered, where, in light of past work, novel commitments have been made to help include based and PC vision situations. This epic PC vision procedure utilized as notice framework for avalanche identification depends on changes in the normal landscape. The multi-criteria basic leadership strategy is used to incorporate slope data and the level of variety of the highlights. The reproduction consequences of highlight point discovery are shown in highlight guide coordinating toward discover steady and coordinating component focuses and effectively identified utilizing these two systems, by examining the variety in the distinguished highlights and the element coordinating.

Inquisition of Meaning in Life for Logotherapy Application in Hospice Nursing (호스피스 간호에서 의미요법 적용을 위한 생의 의미 고찰)

  • Choi, Soon-Ock;Kim, Sook-Nam
    • The Journal of Korean Academic Society of Nursing Education
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    • v.9 no.2
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    • pp.329-339
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    • 2003
  • The purpose of this study is to consider of meaning in life based on Frankl's theory and to propose of hospice nursing according to conceptual framework of meaning in life. The conceptual framework of meaning in life is composed of 4 phases. According to the first phase, acceptance & awareness of self and life, hospice nurse should helps dying patient to accept limitedness of human existence and death. and according to the second phase, actualization of creative value, hospice nurse can helps dying patient to discover meaning in life through doing a deed for last time before his death. According to the third phase, actualization of experiential value, hospice nurse can helps them to discovery of meaning by experiencing of love through meetings with other people, nature, and god. According to the forth phase, actualization of attitudinal value, hospice nurse can helps them to discovery of meaning by realizing meaning in suffering and death through exercising of the inner freedom to choose bravery and acceptance in the face of death and misfortune. As mentioned above, the Frankl's theory accords with the core of hospice nursing that helps people to accomplish human essence in suffering and death. therefore we accepted Frankl's point of view, asserted that one of the most important roles of a hospice nurse as a supporter and sustainer for dying patients is to help patients to find meaning in life even in the course of death. To achieve the goal, hospice nurses should try to have a firm faith through philosophical introspection about life, death, human existence and meaning in life what the most important goal of life is to discover meaning in life and human have the duty and responsibility of recognizing and pursuing meaning up to the last moment of life.

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Designing the Instructional Framework and Cognitive Learning Environment for Artificial Intelligence Education through Computational Thinking (Computational Thinking 기반의 인공지능교육 프레임워크 및 인지적학습환경 설계)

  • Shin, Seungki
    • Journal of The Korean Association of Information Education
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    • v.23 no.6
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    • pp.639-653
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    • 2019
  • The purpose of this study is to design an instructional framework and cognitive learning environment for AI education based on computational thinking in order to ground the theoretical rationale for AI education. Based on the literature review, the learning model is proposed to select the algorithms and problem-solving models through the abstraction process at the stage of data collection and discovery. Meanwhile, the instructional model of AI education through computational thinking is suggested to enhance the problem-solving ability using the AI by performing the processes of problem-solving and prediction based on the stages of automating and evaluating the selected algorithms. By analyzing the research related to the cognitive learning environment for AI education, the instructional framework was composed mainly of abstraction which is the core thinking process of computational thinking through the transition from the stage of the agency to modeling. The instructional framework of AI education and the process of constructing the cognitive learning environment presented in this study are characterized in that they are based on computational thinking, and those are expected to be the basis of further research for the instructional design of AI education.

A study on the Robust and Systolic Topology for the Resilient Dynamic Multicasting Routing Protocol

  • Lee, Kang-Whan;Kim, Sung-Uk
    • Journal of information and communication convergence engineering
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    • v.6 no.3
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    • pp.255-260
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    • 2008
  • In the recently years, there has been a big interest in ad hoc wireless network as they have tremendous military and commercial potential. An Ad hoc wireless network is composed of mobile computing devices that use having no fixed infrastructure of a multi-hop wireless network formed. So, the fact that limited resource could support the network of robust, simple framework and energy conserving etc. In this paper, we propose a new ad hoc multicast routing protocol for based on the ontology scheme called inference network. Ontology knowledge-based is one of the structure of context-aware. And the ontology clustering adopts a tree structure to enhance resilient against mobility and routing complexity. This proposed multicast routing protocol utilizes node locality to be improve the flexible connectivity and stable mobility on local discovery routing and flooding discovery routing. Also attempts to improve route recovery efficiency and reduce data transmissions of context-awareness. We also provide simulation results to validate the model complexity. We have developed that proposed an algorithm have design multi-hierarchy layered networks to simulate a desired system.

Future Cancer Therapy with Molecularly Targeted Therapeutics: Challenges and Strategies

  • Kim, Mi-Sook
    • Biomolecules & Therapeutics
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    • v.19 no.4
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    • pp.371-389
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    • 2011
  • A new strategy for cancer therapy has emerged during the past decade based on molecular targets that are less likely to be essential in all cells in the body, therefore confer a wider therapeutic window than traditional cytotoxic drugs which mechanism of action is to inhibit essential cellular functions. Exceptional heterogeneity and adaptability of cancer impose significant challenges in oncology drug discovery, and the concept of complex tumor biology has led the framework of developing many anticancer therapeutics. Protein kinases are the most pursued targets in oncology drug discovery. To date, 12 small molecule kinase inhibitors have been approved by US Food and Drug Administration, and many more are in clinical development. With demonstrated clinical efficacy of bortezomib, ubiquitin proteasome and ubiquitin-like protein conjugation systems are also emerging as new therapeutic targets in cancer therapy. In this review, strategies of targeted cancer therapies with inhibitors of kinases and proteasome systems are discussed. Combinational cancer therapy to overcome drug resistance and to achieve greater treatment benefit through the additive or synergistic effects of each individual agent is also discussed. Finally, the opportunities in the future cancer therapy with molecularly targeted anticancer therapeutics are addressed.

Discovering Temporal Work Transference Networks from Workflow Execution Logs

  • Pham, Dinh-Lam;Ahn, Hyun;Kim, Kwanghoon Pio
    • Journal of Internet Computing and Services
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    • v.20 no.2
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    • pp.101-108
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    • 2019
  • Workflow management systems (WfMSs) automate and manage workflows, which are implementations of organizational processes operated in process-centric organizations. In this paper, wepropose an algorithm to discover temporal work transference networks from workflow execution logs. The temporal work transference network is a special type of enterprise social networks that consists of workflow performers, and relationships among them that are formed by work transferences between performers who are responsible in performing precedent and succeeding activities in a workflow process. In terms of analysis, the temporal work transference network is an analytical property that has significant value to be analyzed to discover organizational knowledge for human resource management and related decision-making steps for process-centric organizations. Also, the beginning point of implementinga human-centered workflow intelligence framework dealing with work transference networks is to develop an algorithm for discovering temporal work transference cases on workflow execution logs. To this end, we first formalize a concept of temporal work transference network, and next, we present a discovery algorithm which is for the construction of temporal work transference network from workflow execution logs. Then, as a verification of the proposed algorithm, we apply the algorithm to an XES-formatted log dataset that was released by the process mining research group and finally summarize the discovery result.

HBase based Business Process Event Log Schema Design of Hadoop Framework

  • Ham, Seonghun;Ahn, Hyun;Kim, Kwanghoon Pio
    • Journal of Internet Computing and Services
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    • v.20 no.5
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    • pp.49-55
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    • 2019
  • Organizations design and operate business process models to achieve their goals efficiently and systematically. With the advancement of IT technology, the number of items that computer systems can participate in and the process becomes huge and complicated. This phenomenon created a more complex and subdivide flow of business process.The process instances that contain workcase and events are larger and have more data. This is an essential resource for process mining and is used directly in model discovery, analysis, and improvement of processes. This event log is getting bigger and broader, which leads to problems such as capacity management and I / O load in management of existing row level program or management through a relational database. In this paper, as the event log becomes big data, we have found the problem of management limit based on the existing original file or relational database. Design and apply schemes to archive and analyze large event logs through Hadoop, an open source distributed file system, and HBase, a NoSQL database system.